README

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shell
pip install taichi   Install Taichi Lang
ti gallery           Launch demo gallery


 What is Taichi Lang?

Taichi Lang is an open-source, imperative, parallel programming language for high-performance numerical computation. It is embedded in Python and uses just-in-time (JIT) compiler frameworks, for example LLVM, to offload the compute-intensive Python code to the native GPU or CPU instructions.

   

The language has broad applications spanning real-time physical simulation, numerical computation, augmented reality, artificial intelligence, vision and robotics, visual effects in films and games, general-purpose computing, and much more.


 






...More

 Why Taichi Lang?

- Built around Python: Taichi Lang shares almost the same syntax with Python, allowing you to write algorithms with minimal language barrier. It is also well integrated into the Python ecosystem, including NumPy and PyTorch.
- Flexibility: Taichi Lang provides a set of generic data containers known as SNode (/ˈsnoʊd/), an effective mechanism for composing hierarchical, multi-dimensional fields. This can cover many use patterns in numerical simulation (e.g. spatially sparse computing).
- Performance: With the @ti.kernel decorator, Taichi Lang's JIT compiler automatically compiles your Python functions into efficient GPU or CPU machine code for parallel execution.
- Portability: Write your code once and run it everywhere. Currently, Taichi Lang supports most mainstream GPU APIs, such as CUDA and Vulkan.
- ... and many more features! A cross-platform, Vulkan-based 3D visualizer, differentiable programming,  quantized computation (experimental), etc.

 Getting Started

 Installation


  Prerequisites



- Operating systems
  - Windows
  - Linux
  - macOS
- Python: 3.6 ~ 3.10 (64-bit only)
- Compute backends
  - x64/ARM CPUs
  - CUDA
  - Vulkan
  - OpenGL (4.3+)
  - Apple Metal
  - WebAssembly (experiemental)
 

Use Python's package installer pip to install Taichi Lang:

bash
pip install --upgrade taichi


We also provide a nightly package. Note that nightly packages may crash because they are not fully tested.  We cannot guarantee their validity, and you are at your own risk trying out our latest, untested features. The nightly packages can be installed from our self-hosted PyPI (Using self-hosted PyPI allows us to provide more frequent releases over a longer period of time)

bash
pip install -i https://pypi.taichi.graphics/simple/ taichi-nightly


 Run your "Hello, world!"

Here is how you can program a 2D fractal in Taichi:

py
 python/taichi/examples/simulation/fractal.py

import taichi as ti

ti.init(arch=ti.gpu)

n = 320
pixels = ti.field(dtype=float, shape=(n  2, n))


@ti.func
def complex_sqr(z):
    return ti.Vector([z[0]2 - z[1]2, z[1]  z[0]  2])


@ti.kernel
def paint(t: float):
    for i, j in pixels:   Parallelized over all pixels
        c = ti.Vector([-0.8, ti.cos(t)  0.2])
        z = ti.Vector([i / n - 1, j / n - 0.5])  2
        iterations = 0